zCompositions: Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets

Principled methods for the imputation of zeros, left-censored and missing data in compositional data sets (Palarea-Albaladejo and Martin-Fernandez (2015) <doi:10.1016/j.chemolab.2015.02.019>).

Version: 1.3.4
Depends: R (≥ 2.14.0), methods, MASS, NADA, truncnorm
Published: 2020-03-04
Author: Javier Palarea-Albaladejo and Josep Antoni Martin-Fernandez
Maintainer: Javier Palarea-Albaladejo <javier.palarea at bioss.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: zCompositions citation info
Materials: README NEWS
In views: MissingData
CRAN checks: zCompositions results

Downloads:

Reference manual: zCompositions.pdf
Package source: zCompositions_1.3.4.tar.gz
Windows binaries: r-devel: zCompositions_1.3.4.zip, r-release: zCompositions_1.3.4.zip, r-oldrel: zCompositions_1.3.4.zip
macOS binaries: r-release: zCompositions_1.3.4.tgz, r-oldrel: zCompositions_1.3.4.tgz
Old sources: zCompositions archive

Reverse dependencies:

Reverse depends: ALDEx2
Reverse imports: baytrends, metamicrobiomeR, omicplotR, robCompositions

Linking:

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